Zobrazeno 1 - 10
of 2 166
pro vyhledávání: '"Nehme P"'
When solving ill-posed inverse problems, one often desires to explore the space of potential solutions rather than be presented with a single plausible reconstruction. Valuable insights into these feasible solutions and their associated probabilities
Externí odkaz:
http://arxiv.org/abs/2405.15719
We develop the theory of projective endofunctors for modules of Khovanov algebras $K$ of type B. In particular we compute the composition factors and the graded layers of the image of a simple module under such a projective functor. We then study var
Externí odkaz:
http://arxiv.org/abs/2405.11981
Autor:
Henning, Thomas, Kamp, Inga, Samland, Matthias, Arabhavi, Aditya M., Kanwar, Jayatee, van Dishoeck, Ewine F., Guedel, Manuel, Lagage, Pierre-Olivier, Waelkens, Christoffel, Abergel, Alain, Absil, Olivier, Barrado, David, Boccaletti, Anthony, Bouwman, Jeroen, Garatti, Alessio Caratti o, Geers, Vincent, Glauser, Adrian M., Lahuis, Fred, Nehme, Cyrine, Olofsson, Goeran, Pantin, Eric, Ray, Tom P., Vandenbussche, Bart, Waters, L. B. F. M., Wright, Gillian, Christiaens, Valentin, Franceschi, Riccardo, Gasman, Danny, Guadarrama, Rodrigo, Jang, Hyerin, Morales-Calderon, Maria, Pawellek, Nicole, Perotti, Giulia, Rodgers-Lee, Donna, Schreiber, Juergen, Schwarz, Kamber, Tabone, Benoit, Temmink, Milou, Vlasblom, Marissa, Colina, Luis, Greve, Thomas R., Oestlin, Goeran
The study of protoplanetary disks has become increasingly important with the Kepler satellite finding that exoplanets are ubiquitous around stars in our galaxy and the discovery of enormous diversity in planetary system architectures and planet prope
Externí odkaz:
http://arxiv.org/abs/2403.09210
In ill-posed inverse problems, it is commonly desirable to obtain insight into the full spectrum of plausible solutions, rather than extracting only a single reconstruction. Information about the plausible solutions and their likelihoods is encoded i
Externí odkaz:
http://arxiv.org/abs/2312.07804
Autor:
Nehme, Jonas
The periplectic Lie superalgebra $\mathfrak{p}(n)$ is one of the most mysterious and least understood simple classical Lie superalgebras with reductive even part. We approach the study of its finite dimensional representation theory in terms of Schur
Externí odkaz:
http://arxiv.org/abs/2312.08390
Autor:
Brice Wang, Tianle Ma, Theresa Chen, Trinh Nguyen, Ethan Crouse, Stephen J. Fleming, Alison S. Walker, Vera Valakh, Ralda Nehme, Evan W. Miller, Samouil L. Farhi, Mehrtash Babadi
Publikováno v:
npj Imaging, Vol 2, Iss 1, Pp 1-21 (2024)
Abstract Voltage imaging is a powerful technique for studying neuronal activity, but its effectiveness is often constrained by low signal-to-noise ratios (SNR). Traditional denoising methods, such as matrix factorization, impose rigid assumptions abo
Externí odkaz:
https://doaj.org/article/dbf291f876f244e9bc6260017bca652d
Autor:
B. Souza Simões, M. Nehme Marinho, R.R. Lobo, T.M. Adeoti, M.C. Perdomo, L. Sekito, F.T. Saputra, U. Arshad, A. Husnain, R. Malhotra, A. Fraz, Y. Sugimoto, C.D. Nelson, J.E.P. Santos
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 12, Pp 10945-10963 (2024)
ABSTRACT: An experiment was conducted to determine the effects of supplementing rumen-protected arginine (RPA) on productive performance in dairy cows. One-hundred and two cows were blocked by parity and then by ECM yield. Within block, cows were ran
Externí odkaz:
https://doaj.org/article/35164c3ec46f4d2eb3587135350bc55a
Autor:
Nehme, Ghadi, Deo, Tejas Y.
Autonomous vehicles have the potential to revolutionize transportation, but they must be able to navigate safely in traffic before they can be deployed on public roads. The goal of this project is to train autonomous vehicles to make decisions to nav
Externí odkaz:
http://arxiv.org/abs/2311.10735
At present, robots typically require extensive training to successfully accomplish a single task. However, to truly enhance their usefulness in real-world scenarios, robots should possess the capability to perform multiple tasks effectively. To addre
Externí odkaz:
http://arxiv.org/abs/2311.12854
Uncertainty quantification is crucial for the deployment of image restoration models in safety-critical domains, like autonomous driving and biological imaging. To date, methods for uncertainty visualization have mainly focused on per-pixel estimates
Externí odkaz:
http://arxiv.org/abs/2309.15533